Design and Implementation of an Intelligent Mobile Game
Автор: Ekin Ekinci, Fidan Kaya Gülağız, Sevinç İlhan Omurca
Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs
Статья в выпуске: 3 vol.9, 2017 года.
Бесплатный доступ
While the mobile game industry is growing with each passing day with the popularization of 3G smart devices, the creation of successful games, which may interest users, become quite important in terms of the survival of the designed game. Clustering, which has many application fields, is a successful method and its implementation in the field of mobile games is inevitable. In this study, classical ball blasting game was carried out based on clustering. In the game, clustering the color codes with K-means, Iterative K-means, Iterative Multi K-means and K-medoids methods and blasting the balls of colors located in the same cluster by bringing them together were proposed. As a result of the experiments, the suitability of clustering methods for mobile based ball blasting game was shown. At the same time, the clustering methods were compared to produce the more successful clusters and because of obtaining more accurate results and stability, the use of K-medoids method has been chosen for this game.
Mobile game, K-means, Iterative K-means, Iterative Multi K-means, K-medoids
Короткий адрес: https://sciup.org/15014950
IDR: 15014950
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